{"id":"W2008974539","doi":"10.1175/mwr3286.1","title":"The Characteristics of Key Analysis Errors. Part II: The Importance of the PV Corrections and the Impact of Balance","year":2007,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Environment and Climate Change Canada; McGill University","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Range (aeronautics); Error analysis; Nonlinear system; Forecast error; Key (lock); Potential vorticity; Inversion (geology); Computer science; Energy balance; Meteorology; Econometrics; Vorticity; Mathematics; Applied mathematics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002247822,0.0004477403,0.0003427439,0.001392507,0.0004204678,0.001182182,0.0004494326,0.0003802901,0.001140411],"category_scores_gemma":[0.0151164,0.0001949666,0.0002913312,0.001187708,0.0004844871,0.001677459,0.0007647786,0.0005696154,0.0002590039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006373753,"about_ca_system_score_gemma":0.0008615794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006441016,"about_ca_topic_score_gemma":0.005928795,"domain_scores_codex":[0.9985935,0.0002264723,0.0001351245,0.0002043769,0.0007529253,0.0000875387],"domain_scores_gemma":[0.9896459,0.005129492,0.001428908,0.0009050996,0.002757548,0.0001330756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001263671,0.0001133059,0.1789691,0.0005684267,0.0002160772,0.0006944225,0.0008489589,0.1855078,0.09425703,0.02253943,0.002257952,0.5127637],"study_design_scores_gemma":[0.00007054408,0.0003434054,0.2685531,0.0001495419,0.000144618,0.0007735986,0.0005496067,0.5591423,0.1395987,0.01723328,0.013285,0.0001564305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6908554,0.002271725,0.291114,0.0006534324,0.0002787412,0.000190654,0.0006546868,0.0008564489,0.01312479],"genre_scores_gemma":[0.977431,0.00023191,0.02025705,0.00003439088,0.00003428867,0.00002342132,0.0002540721,0.0001708102,0.001563148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006441016,"threshold_uncertainty_score":0.01280707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919476513249379,"score_gpt":0.2594945355145524,"score_spread":0.2402997703820586,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}